One of the major problems in the fight against cancer is drug-resistance, which, at a molecular level, can be acquired through mutations able to deactivate apoptosis. In particular, proteins in the Bcl-2 family are central regulators of programmed cell death, and members that inhibit apoptosis, such as Bcl-xl and Bcl-2, are overexpressed in many tumours. The development of new inhibitors of these proteins as potential anticancer therapeutics represents a new frontier. In this work, we carried out an in-silico screening of compounds from a free database of more than 2 million structures (ZINC database), which allowed us to identify 17 sulfonamide derivatives as new potential inhibitors; these are currently undergoing biological evaluation.

Almerico, A.M., Tutone, M., Lauria, A. (2009). In-silico screening of new potential Bcl-2/Bcl-xl inhibitors as apoptosis modulators. JOURNAL OF MOLECULAR MODELING, 15(4), 349-355 [10.1007/s00894-008-0405-x].

In-silico screening of new potential Bcl-2/Bcl-xl inhibitors as apoptosis modulators

ALMERICO, Anna Maria;TUTONE, Marco;LAURIA, Antonino
2009-01-01

Abstract

One of the major problems in the fight against cancer is drug-resistance, which, at a molecular level, can be acquired through mutations able to deactivate apoptosis. In particular, proteins in the Bcl-2 family are central regulators of programmed cell death, and members that inhibit apoptosis, such as Bcl-xl and Bcl-2, are overexpressed in many tumours. The development of new inhibitors of these proteins as potential anticancer therapeutics represents a new frontier. In this work, we carried out an in-silico screening of compounds from a free database of more than 2 million structures (ZINC database), which allowed us to identify 17 sulfonamide derivatives as new potential inhibitors; these are currently undergoing biological evaluation.
2009
Settore CHIM/08 - Chimica Farmaceutica
Almerico, A.M., Tutone, M., Lauria, A. (2009). In-silico screening of new potential Bcl-2/Bcl-xl inhibitors as apoptosis modulators. JOURNAL OF MOLECULAR MODELING, 15(4), 349-355 [10.1007/s00894-008-0405-x].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/43936
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